Econometric Modelling of Stock Market Intraday Activity

  • Luc Bauwens
  • Pierre Giot

Part of the Advanced Studies in Theoretical and Applied Econometrics book series (ASTA, volume 38)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Luc Bauwens, Pierre Giot
    Pages 1-34
  3. Luc Bauwens, Pierre Giot
    Pages 35-64
  4. Luc Bauwens, Pierre Giot
    Pages 65-106
  5. Luc Bauwens, Pierre Giot
    Pages 107-124
  6. Luc Bauwens, Pierre Giot
    Pages 125-172
  7. Back Matter
    Pages 173-180

About this book

Introduction

Over the past 25 years, applied econometrics has undergone tremen­ dous changes, with active developments in fields of research such as time series, labor econometrics, financial econometrics and simulation based methods. Time series analysis has been an active field of research since the seminal work by Box and Jenkins (1976), who introduced a gen­ eral framework in which time series can be analyzed. In the world of financial econometrics and the application of time series techniques, the ARCH model of Engle (1982) has shifted the focus from the modelling of the process in itself to the modelling of the volatility of the process. In less than 15 years, it has become one of the most successful fields of 1 applied econometric research with hundreds of published papers. As an alternative to the ARCH modelling of the volatility, Taylor (1986) intro­ duced the stochastic volatility model, whose features are quite similar to the ARCH specification but which involves an unobserved or latent component for the volatility. While being more difficult to estimate than usual GARCH models, stochastic volatility models have found numerous applications in the modelling of volatility and more particularly in the econometric part of option pricing formulas. Although modelling volatil­ ity is one of the best known examples of applied financial econometrics, other topics (factor models, present value relationships, term structure 2 models) were also successfully tackled.

Keywords

Finance Options Volatility econometrics modeling paraplupub

Authors and affiliations

  • Luc Bauwens
    • 1
  • Pierre Giot
    • 1
    • 2
  1. 1.Université Catholique de Louvain (CORE)Belgium
  2. 2.University of MaastrichtThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-3381-5
  • Copyright Information Springer-Verlag US 2001
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-4906-6
  • Online ISBN 978-1-4757-3381-5
  • Series Print ISSN 1570-5811
  • About this book